Mónica Carol

808 total citations
27 papers, 504 citations indexed

About

Mónica Carol is a scholar working on Epidemiology, Infectious Diseases and Genetics. According to data from OpenAlex, Mónica Carol has authored 27 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Epidemiology, 12 papers in Infectious Diseases and 6 papers in Genetics. Recurrent topics in Mónica Carol's work include Viral gastroenteritis research and epidemiology (6 papers), Inflammatory Bowel Disease (6 papers) and Microscopic Colitis (5 papers). Mónica Carol is often cited by papers focused on Viral gastroenteritis research and epidemiology (6 papers), Inflammatory Bowel Disease (6 papers) and Microscopic Colitis (5 papers). Mónica Carol collaborates with scholars based in Spain and Belgium. Mónica Carol's co-authors include Marta Llopis, Francisco Guarner, Francesc Casellas, Natalia Borruel, Juan R. Malagelada, Maria Antolı́n, Michel Goldman, Cristina Martínez, F Mascart-Lemone and A. Van Gossum and has published in prestigious journals such as Gastroenterology, PLoS ONE and Gut.

In The Last Decade

Mónica Carol

26 papers receiving 478 citations

Peers

Mónica Carol
Comparison fields: 5 of 73
  • Molecular Biology 218
  • Food Science 143
  • Infectious Diseases 126
  • Genetics 101
  • Epidemiology 91
Replace Micha Hoffmann with:
Micha Hoffmann Germany
M. Penta Italy
Hengameh Chloé Mirsepasi‐Lauridsen Denmark
Clarissa Santos Rocha United States
S.N. Sauter Switzerland
Steve L. Hill United States
Lynda Mottram Sweden
Melissa K. Friswell United Kingdom
Johanneke G. H. Ruseler-van Embden Netherlands
L. M. C. Van Lieshout Netherlands
Micha Hoffmann Germany View profile →
Citations per field, relative to Mónica Carol
Mónica Carol · 1×
Citations per year, relative to Mónica Carol
Mónica Carol · 1×

Countries citing papers authored by Mónica Carol

Since Specialization
Citations

This map shows the geographic impact of Mónica Carol's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mónica Carol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mónica Carol more than expected).

Fields of papers citing papers by Mónica Carol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mónica Carol. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mónica Carol. The network helps show where Mónica Carol may publish in the future.

Co-authorship network of co-authors of Mónica Carol

This figure shows the co-authorship network connecting the top 25 collaborators of Mónica Carol. A scholar is included among the top collaborators of Mónica Carol based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mónica Carol. Mónica Carol is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 2
3 1
4 0
5 9
6 9
7 6
8 1
9 9
10 9
11 3
12 27
13 8
14 125
15 109
16
Dose-effect of interleukin-10 and its immunoregulatory role in Crohn's disease.
11
17 3
18 77
19 6
20 1

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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